ABSTRACT In this paper, the problem of flocking control in networks of multiple Vertical Take-Off and Landing (VTOL) agents with nonlinear and under-actuated features is addressed. Compared with the widely used double-integrator model, the VTOL agents are dis…
ABSTRACT In recent years, mobile terminals are inexpensive, but have high performance in both calculation and display, are equipped with many input / output devices, and are easy to develop software. Therefore, we thought that it could be used for control dev…
Autonomous Driving Control of Automatic Guided Vehicle using Tablet PC Read More »
ABSTRACT Robot systems have recently been studied for real world situations such as space exploration, underwater inspection, and disaster response. In extreme environments, a robot system has a probability of failure. Therefore, considering fault tolerance i…
Distributed Cooperative Fault Diagnosis Method for Internal Components of Robot Systems Read More »
ABSTRACT The use of supervised learning algorithms to detect malicious traffic can be valuable in designing intrusion detection systems and ascertaining security risks. The Internet of things (IoT) refers to the billions of physical, electronic devices around…
IoT Network Attack Detection using Supervised Machine Learning Read More »
ABSTRACT COVID-19 outbreak brought unprecedented changes to people’s lives and made significant impact on the US and world economy. It wrought havoc on livelihood, businesses and ultimately the economy. Understanding how the sentiment on economy is changing…
ABSTRACT During the last few years, there has already been a solid discussion and political will, transversal to most European countries, on the need to invest in prevention, promoting healthier living environments and person-centred digital solutions. In sho…
Benefits and Hurdles of AI In The Workplace – What Comes Next? Read More »
